Senior ML Engineer - Production-Scale Personalization

Iterable, Inc.; New Boston (IL); Remote; USD 150,000 - 250,000; Full time

Job summary

Iterable is hiring a Senior Machine Learning Engineer to design and build end-to-end ML systems powering our marketing platform for enterprise customers.

You will own model lifecycles, partner with Backend and Platform teams, and mentor engineers while advancing AI direction at Iterable.

We value hands-on expertise with Databricks, Spark, Python/Scala, and scalable data pipelines, with focus on latency and impact.

Qualifications

• 5+ years of hands-on MLE experience bringing models to production.
• Databricks & Spark mastery for production data pipelines.
• Production-level model engineering from training to deployment.
• Strong Python/Scala coding for readable, modular systems.
• Experience with microservices, distributed compute, and containers.
• Focus on latency, reliability, and measurable impact.

Responsibilities

• Build core ML features for the product, including personalization and campaign optimization.
• Own the model lifecycle end-to-end: EDA, feature engineering, training, deployment, and monitoring.
• Design and scale data pipelines and serving with Databricks, Spark, AWS, Ray, and Kubernetes.
• Collaborate with Backend/Platform to improve feature serving and coding standards.
• Mentor engineers and guide ML direction at Iterable.

Skills

MLE production

Databricks

Spark

Python/Scala

Distributed systems

Latency/reliability focus

Tools

Databricks

Spark

AWS

Ray

Kubernetes

Terraform

Pulumi

Job description

Iterable is hiring a Senior Machine Learning Engineer to design and build end-to-end ML systems powering our marketing platform for enterprise customers.

You will own model lifecycles, partner with Backend and Platform teams, and mentor engineers while advancing AI direction at Iterable.

We value hands-on expertise with Databricks, Spark, Python/Scala, and scalable data pipelines, with focus on latency and impact.